{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "b32cf1b6-170c-4208-922b-ab25f9187a15",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-21T03:11:55.999993Z",
     "iopub.status.busy": "2022-03-21T03:11:55.999537Z",
     "iopub.status.idle": "2022-03-21T03:11:58.290790Z",
     "shell.execute_reply": "2022-03-21T03:11:58.289662Z",
     "shell.execute_reply.started": "2022-03-21T03:11:55.999955Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n",
      "Requirement already satisfied: seaborn in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (0.10.0)\n",
      "Requirement already satisfied: numpy>=1.13.3 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from seaborn) (1.19.5)\n",
      "Requirement already satisfied: scipy>=1.0.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from seaborn) (1.3.0)\n",
      "Requirement already satisfied: matplotlib>=2.1.2 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from seaborn) (2.2.3)\n",
      "Requirement already satisfied: pandas>=0.22.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from seaborn) (1.1.5)\n",
      "Requirement already satisfied: cycler>=0.10 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib>=2.1.2->seaborn) (0.10.0)\n",
      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib>=2.1.2->seaborn) (3.0.7)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib>=2.1.2->seaborn) (1.1.0)\n",
      "Requirement already satisfied: six>=1.10 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib>=2.1.2->seaborn) (1.16.0)\n",
      "Requirement already satisfied: python-dateutil>=2.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib>=2.1.2->seaborn) (2.8.2)\n",
      "Requirement already satisfied: pytz in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib>=2.1.2->seaborn) (2019.3)\n",
      "Requirement already satisfied: setuptools in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from kiwisolver>=1.0.1->matplotlib>=2.1.2->seaborn) (41.4.0)\n",
      "\u001b[33mWARNING: You are using pip version 21.3.1; however, version 22.0.4 is available.\n",
      "You should consider upgrading via the '/opt/conda/envs/python35-paddle120-env/bin/python -m pip install --upgrade pip' command.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!pip install seaborn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "cf9088d8-a253-4470-b04d-27f12cbe3997",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-21T02:07:01.060912Z",
     "iopub.status.busy": "2022-03-21T02:07:01.060181Z",
     "iopub.status.idle": "2022-03-21T02:07:03.128564Z",
     "shell.execute_reply": "2022-03-21T02:07:03.127415Z",
     "shell.execute_reply.started": "2022-03-21T02:07:01.060873Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n",
      "Requirement already satisfied: matplotlib in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (2.2.3)\n",
      "Requirement already satisfied: numpy>=1.7.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib) (1.19.5)\n",
      "Requirement already satisfied: six>=1.10 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib) (1.16.0)\n",
      "Requirement already satisfied: cycler>=0.10 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib) (0.10.0)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib) (1.1.0)\n",
      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib) (3.0.7)\n",
      "Requirement already satisfied: pytz in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib) (2019.3)\n",
      "Requirement already satisfied: python-dateutil>=2.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib) (2.8.2)\n",
      "Requirement already satisfied: setuptools in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from kiwisolver>=1.0.1->matplotlib) (41.4.0)\n",
      "\u001b[33mWARNING: You are using pip version 21.3.1; however, version 22.0.4 is available.\n",
      "You should consider upgrading via the '/opt/conda/envs/python35-paddle120-env/bin/python -m pip install --upgrade pip' command.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!pip install matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6c9d40a4-335d-4017-b820-eb3b01fb1a43",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-21T02:07:05.829243Z",
     "iopub.status.busy": "2022-03-21T02:07:05.828763Z",
     "iopub.status.idle": "2022-03-21T02:07:06.299006Z",
     "shell.execute_reply": "2022-03-21T02:07:06.298149Z",
     "shell.execute_reply.started": "2022-03-21T02:07:05.829208Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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PJHmRwZvMrUNnA0mSFtm8wV9V9zMI8xPVfBt48xzrvwr8/IK7kySNnd/claTGGPyS1BiDX5IaY/BLUmMMfklqTKpq0j38mCQHgb9d4MPPBb4zxnYm6VSZ5VSZA5xlKTpV5oCTm+Wiqur17dclGfwnI8lMVU1Puo9xOFVmOVXmAGdZik6VOWDxZvFQjyQ1xuCXpMacisG/adINjNGpMsupMgc4y1J0qswBizTLKXeMX5J0YqfiHr8k6QSWbfAneSLJru4i7jNzbP/IrIu8f7276PtPT6LXE+kxx3EvZL/U9JjlnCR3JXk0yYNJLp9En30kWZPk80n2JnksyT8Z2p4k/ybJvm6e102q1xPpMcclSb6W5PkkH55Un330mOU3u5/FriRfTfILk+p1Pj1muaGbZUd3BcM3jrWBqlqWN+AJ4NyetW8B7p10zwuZg8E/gf2JbnmKwfWMT5t03wuc5ZPAH3TLlwD/bdI9n6DX24H3dsunAWuGtv8KcDeDf7n2DcC2Sfe8wDl+Bng98K+AD0+635Oc5ReBc7rlX16qP5Oes5zF3x+Kfy2wd5yvv2z3+Ef068B/mnQTC3QqXcj+MuBegKraC6zvLtyzpCQ5G7iawQWIqKofVtWhobIbgP9YAw8Aa5Kcv8itnlCfOarqmap6CHhhAi321nOWr1bV97q7DwBrF7fLfnrOcri61AfOZJADY7Ocg7+AryTZ3l2vd05J/hFwPYNLRy5F881xogvZLzXzzbITeDtAkg3ARSzNv5yvAA4C/z7JI0n+NMmZQzUXAE/Ouv9Ut24p6TPHcjHqLDcz+ES2FPWaJcnbkuwF/gvw2+NsYDkH/xur6nUMPtK9L8nVx6l7C/A/q+rZxWttJPPN8aML2b8cuAL44yQvXeQe+5pvllsZ7BnvAN4PPAIcW+Qe+1gJvA74d1V1JfB3wO9NtqUFOVXmgBFmSfJLDIL/dxevvZH0mqWq7qqqS4C3MrjK4dgs2+Cvv7+I+zPAXcCG45TeyBI+zNNjjuNeyH6pmW+Wqnquqm6qqiuAdzP4ncX+RW90fk8BT1XVtu7+5xn8RZ3tAHDhrPtru3VLSZ85lotesyR5LfCnwA1V9d1F7G8UI/1cquo+4JXddcvHYlkGf5Izk7zkR8sMLvv49Tnqzgb+GfBXi9thPz3nmPNC9ovZZx99ZunOZDitu/te4L6qem5xO51fVf0f4MkkF3errgWGrxW9GXh3d3bPG4DvV9XTi9nnfHrOsSz0mSXJOuBO4F1V9b8WucXees7yqu73enRnjJ0OjO2NrM/F1pei84C7uv8uK4HPVtVfJ/kd+P8XgAd4G/CVqvq7ybQ5rz5zzHkh+0k1fAJ9ZrkUuD1JAbsZfBxfqt4P3NG9Ue0Hbhqa5csMzuzZB/xfBp/MlqITzpHkHwMzwEuBF5N8ELhsKb4hM//P5PeBlwH/tvv/8Ggt3X+8bb5Z/jmDHYsXgCPAO2f9svek+c1dSWrMsjzUI0laOINfkhpj8EtSYwx+SWqMwS9JjTH4JakxBr8kNcbgl6TG/D8vA+FCWXDVJgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "x=6\n",
    "y=3\n",
    "plt.plot(x,y,'o')\n",
    "plt.show()\n",
    "\n",
    "x=[6,4]\n",
    "y=[3,7]\n",
    "plt.plot(x,y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "fbcffeae-f2b6-48db-9fda-b716a3d2f95e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-21T02:07:12.268448Z",
     "iopub.status.busy": "2022-03-21T02:07:12.267956Z",
     "iopub.status.idle": "2022-03-21T02:07:12.512468Z",
     "shell.execute_reply": "2022-03-21T02:07:12.511764Z",
     "shell.execute_reply.started": "2022-03-21T02:07:12.268407Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>china</th>\n",
       "      <th>usa</th>\n",
       "      <th>king</th>\n",
       "      <th>japan</th>\n",
       "      <th>russia</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>241.000000</td>\n",
       "      <td>241.000000</td>\n",
       "      <td>241.000000</td>\n",
       "      <td>241.000000</td>\n",
       "      <td>241.000000</td>\n",
       "      <td>241.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1920.000000</td>\n",
       "      <td>3906.327801</td>\n",
       "      <td>19019.580913</td>\n",
       "      <td>14975.016598</td>\n",
       "      <td>11803.473029</td>\n",
       "      <td>9165.580913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>69.714896</td>\n",
       "      <td>7897.060024</td>\n",
       "      <td>20966.605026</td>\n",
       "      <td>14186.285966</td>\n",
       "      <td>15780.652526</td>\n",
       "      <td>10130.108008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1800.000000</td>\n",
       "      <td>560.000000</td>\n",
       "      <td>1965.000000</td>\n",
       "      <td>3043.000000</td>\n",
       "      <td>1009.000000</td>\n",
       "      <td>1365.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1860.000000</td>\n",
       "      <td>735.000000</td>\n",
       "      <td>3354.000000</td>\n",
       "      <td>4926.000000</td>\n",
       "      <td>1116.000000</td>\n",
       "      <td>1831.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1920.000000</td>\n",
       "      <td>785.000000</td>\n",
       "      <td>8134.000000</td>\n",
       "      <td>7973.000000</td>\n",
       "      <td>2620.000000</td>\n",
       "      <td>3415.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1980.000000</td>\n",
       "      <td>1078.000000</td>\n",
       "      <td>29523.000000</td>\n",
       "      <td>20733.000000</td>\n",
       "      <td>21614.000000</td>\n",
       "      <td>15604.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2040.000000</td>\n",
       "      <td>34823.000000</td>\n",
       "      <td>79957.000000</td>\n",
       "      <td>56528.000000</td>\n",
       "      <td>55158.000000</td>\n",
       "      <td>39276.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              time         china           usa          king         japan  \\\n",
       "count   241.000000    241.000000    241.000000    241.000000    241.000000   \n",
       "mean   1920.000000   3906.327801  19019.580913  14975.016598  11803.473029   \n",
       "std      69.714896   7897.060024  20966.605026  14186.285966  15780.652526   \n",
       "min    1800.000000    560.000000   1965.000000   3043.000000   1009.000000   \n",
       "25%    1860.000000    735.000000   3354.000000   4926.000000   1116.000000   \n",
       "50%    1920.000000    785.000000   8134.000000   7973.000000   2620.000000   \n",
       "75%    1980.000000   1078.000000  29523.000000  20733.000000  21614.000000   \n",
       "max    2040.000000  34823.000000  79957.000000  56528.000000  55158.000000   \n",
       "\n",
       "             russia  \n",
       "count    241.000000  \n",
       "mean    9165.580913  \n",
       "std    10130.108008  \n",
       "min     1365.000000  \n",
       "25%     1831.000000  \n",
       "50%     3415.000000  \n",
       "75%    15604.000000  \n",
       "max    39276.000000  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "data=pd.read_csv(\"line_animation.csv\")\n",
    "year=data[\"time\"]\n",
    "china=data[\"china\"]\n",
    "usa=data[\"usa\"]\n",
    "japan=data[\"japan\"]\n",
    "russia=data[\"russia\"]\n",
    "data.describe()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ae6af27d-3771-4c55-9df7-d688af98ef6a",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "184d2f0a-0eab-4abb-b17f-7d6d23174ed9",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "60a3bd31-ffee-46bc-a2c1-7c52f81b60f7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-14T03:27:18.967894Z",
     "iopub.status.busy": "2022-03-14T03:27:18.966856Z",
     "iopub.status.idle": "2022-03-14T03:27:19.275962Z",
     "shell.execute_reply": "2022-03-14T03:27:19.275173Z",
     "shell.execute_reply.started": "2022-03-14T03:27:18.967853Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/cbook/__init__.py:2064: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  x[:, None]\n",
      "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/axes/_base.py:248: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  x = x[:, np.newaxis]\n",
      "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/axes/_base.py:250: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  y = y[:, np.newaxis]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7ff9b1606c90>]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,axes=plt.subplots()\n",
    "fig.set_size_inches(10,10)\n",
    "axes.set_xlim(1800,2040)\n",
    "axes.set_ylim(0,4000)\n",
    "axes.plot(year,china,color='red')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "e36a81f2-b809-4ea2-9937-999e930def14",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-21T03:12:40.920662Z",
     "iopub.status.busy": "2022-03-21T03:12:40.920163Z",
     "iopub.status.idle": "2022-03-21T03:12:41.628310Z",
     "shell.execute_reply": "2022-03-21T03:12:41.627649Z",
     "shell.execute_reply.started": "2022-03-21T03:12:40.920596Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'年')"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "     \n",
    "\n",
    "#创建figure与axes对象\n",
    "fig,axes=plt.subplots()\n",
    "#设定figure图的大小\n",
    "fig.set_size_inches(10,10)\n",
    "axes.set_title(\"The GPD of China\")\n",
    "#设定axesx轴y轴的数值范围\n",
    "#axes.set_xlim(1800,2040)\n",
    "#axes.set_ylim(0,40000)\n",
    "axes.axis([1800,2040,0,40000])\n",
    "###基于plot方法绘图\n",
    "axes.plot(year,china)\n",
    "axes.axis('tight')\n",
    "#axes.axis('equal')\n",
    "axes.set_ylabel(\"人均GDP美元\",fontproperties=myfont)\n",
    "axes.set_xlabel(\"年\",fontproperties=myfont)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ae1e2c19-2c2b-4690-bf81-f385a07754b4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-21T02:06:22.558934Z",
     "iopub.status.busy": "2022-03-21T02:06:22.558482Z",
     "iopub.status.idle": "2022-03-21T02:06:22.563250Z",
     "shell.execute_reply": "2022-03-21T02:06:22.562599Z",
     "shell.execute_reply.started": "2022-03-21T02:06:22.558896Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "from matplotlib.font_manager import FontProperties\n",
    "myfont=FontProperties(fname=r\"external-libraries/微软雅黑.ttf\",size=12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "051d514f-955e-46f1-83bb-a120a444fcb1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-21T03:31:30.477703Z",
     "iopub.status.busy": "2022-03-21T03:31:30.477224Z",
     "iopub.status.idle": "2022-03-21T03:31:30.949973Z",
     "shell.execute_reply": "2022-03-21T03:31:30.949145Z",
     "shell.execute_reply.started": "2022-03-21T03:31:30.477663Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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QAIGBgVRWVgISX8J9XDZ5Wq1Wjh8/zvjx4+nevTurV6+2d9GbqFSqVrmGlJqaau++zZ8//4JforZOq9V6VH3AsTqdO3eOU6dOMX78eKKioli3bh0ZGRmo1eoLjv3p+5bgyfEFnhdjrq7PZZOn0WjEaDTSvXt3AAYMGMDmzZsJCgqirKyMkJAQysrKCAwMBBr/4peUlNiPLy0txWAwYDAY2L9/v327yWTipptuwmAwUFpa+rP9LyYhIYGEhAT7+/M/p60LDQ31qPqA43UKCgoiODiYkpISbrjhBrZv346/vz9Hjx4lKCiIiooK/P39KSkpkfi6Cp4WYy1Vn7CwMIf2u+w1z+DgYIxGI6dPnwYgLy+PiIgI4uLi2LFjBwA7duywX5+Ki4tj586dKIrCoUOH0Ol0hISEEBsbS25uLmazGbPZTG5uLrGxsYSEhODn58ehQ4dQFIWdO3cSFxfnbL1FGxMYGEhISAhnzpwB4NChQ3To0IFevXrZr01mZmYSExMDSHwJ96FSFEW53E4FBQUkJyfT0NBA+/btSUxMRFEUFi1aRElJyc+GKq1atYrc3Fy8vb1JTEykW7duAKSlpZGSkgI0DiUZOnQoAEePHmX58uVYLBZiY2MZP368Q5cBmhK6J/C0VgE4XqdTp06xYcMGGhoaMBqNPPzwwyiKwpo1aygrK8NgMPDYY4/h7+/PddddJ/HlJE+LMVe3PB1Knu7Kk4Lb0wIbWqZOjgZ2c/Ck+ALPizFXJ0+ZYSSEEE6Q5CmEEE6Q5CmEEE6Q5CmEEE6Q5CmEEE6Q5CmEEE6Q5CmEEE6Q5CmEEE6Q5CmEEE6Q5CmEEE6Q5CmEEE6Q5CmEEE6Q5CmEEE6Q5CmEEE6Q5CmEEE6Q5CmEEE6Q5CmEEE6Q5CmEEE6Q5CmEEE6Q5CmEEE6Q5CmEEE6Q5CmEEE7QOrqjzWZj5syZGAwGZs6cSXFxMUlJSVRWVhIZGcnUqVPRarXU19ezdOlSjh07RkBAANOmTaN9+/YApKSkkJaWhlqtZty4ccTGxgKQk5PD6tWrsdlsDB8+nHvvvbdlaivcls1mY+HChQQFBTFx4kRKS0tZu3Yt1dXVREREMHr0aIkv4VYcbnl+9NFHhIeH29+/9dZbjBgxgiVLluDv709aWhoAaWlp+Pv7s2TJEkaMGMH69esBOHXqFBkZGbz++us8//zzrFq1CpvNhs1mY9WqVcyaNYtFixbxxRdfcOrUqWaupnB3O3bsoEOHDvb3W7ZsIT4+ntmzZ6PT6di9ezcg8SXch0PJs7S0lKysLIYPHw6Aoijs27ePAQMGABAfH09mZiYAe/fuJT4+HoABAwaQn5+PoihkZmYycOBAvLy8aN++PR07duTIkSMcOXKEjh070qFDB7RaLQMHDrSfS1wbysvL2b9/vz2eFEXh8OHD9OnTB4B+/fqRl5cHSHwJ9+FQ8lyzZg2jR49GpVIBUFlZiU6nQ6PRAGAwGDCZTACYTCaMRiMAGo0GnU5HZWXlBdvPP+an241Go/1c4tqQkpLCPffcY4+vqqoq/Pz87PEVHBxMRUUFIPElWlZDg+P7Xvaa59dff01QUBCRkZHs27fvasp11VJTU0lNTQVg/vz5hIaGurQ8zUmr1XpUfcCxOmVnZxMaGkrfvn3Zv38/3t7eGI1G1Gq1/ViVStUq/z+eHF/geTHW3PU5fRoGDvTi9GkHP/9yO3z77bfs3buX7OxsLBYLNTU1rFmzhurqaqxWKxqNBpPJhMFgABr/4peWlmI0GrFarVRXVxMQEGDf3uT8Y87fXlpaat/+UwkJCSQkJNjfl5SUOFbLNiA0NNSj6gOO1SknJ4e9e/eSlZVFQ0MDtbW1rFy5kqqqKs6cOYNGo+H48eP4+/tTUlIi8XUVPC3Gmrs+CxcGcOaMl8P7X7bb/vDDD5OcnMyyZcuYNm0avXr14sknn6Rnz572i/jp6enExcUBcMstt5Ceng7A7t276dmzJyqViri4ODIyMqivr6e4uJjCwkKioqLo1q0bhYWFFBcX09DQQEZGhv1cwvONHDmSl156iRdffJFHH32U7t27M2bMGKKiosjNzQUgMzOTmJgYQOJLtAyzWcW6df7cdVetw8c4PFTppx555BGSkpJ499136dq1K8OGDQNg2LBhLF26lKlTp6LX65k2bRoAnTp14rbbbuPpp59GrVYzYcIE1OrG3D1+/Hjmzp2LzWZj6NChdOrUydliCQ8xcuRI1q1bZx/l0XQzSeJLtIR33tFx7pyaSZPMgJ9Dx6gURVFatlgt57SjFyfaAE/rUkHL1CksLKxZz3cpnhRf4Hkx1lz1aWiAgQPbExFhZdOmUodjTGYYCSGuaVu3+vH999ofWp2Ok+Qp2g6bzdUlEB5GUWD5cj1RUfUkJNRd0bGSPEWb4fvpp64ugvAw27b5sm+fF3/6kxn1FWZDSZ6ibbDZCHj9dVeXQngQm61xeFLXrg2MGlVzxcdL8hRtgu/WrXi5eJKG8CyffOLL/v1eTJtWidaJcUeSPIX7a2ggcMEC6m+4wdUlER7CZoPXX29sdd5775W3OuEqxnkK0Vp0772H9tgxTKtWcfG5QUJcmY8+8uXAAS8WLy5zqtUJ0vIU7q62loCFC7H07UvtnXe6ujTCA9TVwbx5gdxwQ73TrU6Qlqdwc/7r1qEpLKQsKQl+WHVJiKvx73/7c+KElnfeKeWHhbucIi1P4bZUZjP6JUuoGzQIy6BBri6O8ABnz6pJSgogIaGWwYOvbFznT0nyFG7Lf9UqNCYT52bOdHVRhIdYsCCA2loVf/1rxVWfS5KncEuq8nL0ycnU/PrX1Pft6+riCA+wb5+Wd97RMXZsFVFR1qs+nyRP4Zb0K1agPneOyhkzXF0U4QEUBebMCSIwUGH69MpmOackT+F+amvRrVtHzZ130tCzp6tLIzzAp5/6kpHhwzPPnCM4uHkWkpPkKdyO35YtaEwmqsaNc3VRhAeoq4OXXw4kOrqe0aOrm+28MlRJuB3du+/SEBkpd9hFs1i2TE9BgZa33y51ekD8xUjLU7gVdUkJ3l99Rc0998i4TuGUvDwvXnopkPJyFRkZ3ixeHMDvf1/NkCFXNzTpp6TlKdyK7//+h8pmo+auu1xdFNEG1dbC6NEGSko07N/vRX6+F507N/DSS+ea/bMkeQq34vvxxzRERMiNInHFjhzRkJXlTUmJhp4969m1ywcvL4VNm8owGpt/IW1JnsJtqMxmfD7/nKpHH5Uuu7gi33+vYciQDgCEhzeQklLCihX+3HyzhRtuaGiRz5TkKdyGT1oaKouFWumyiyuUnf3j89Z/85ta/P0Vpk27smcSXSm5YSTchu8nn2A1GrH06+fqoog25uuvve2v77zT8WevX43LtjxLSkpYtmwZ5eXlqFQqEhIS+O1vf4vZbGbRokWcPXuWdu3aMX36dPR6PYqisHr1arKzs/Hx8SExMZHIyEgA0tPT2bRpEwCjRo0iPj4egGPHjrFs2TIsFgt9+/Zl3LhxqKTbdk0oKytj/fr1VJ47h1ddHXckJNBfo6Gqqoq1a9diMpkwGAyMHTsWnU4n8SUuKivrx+TZv7+lVT7zsi1PjUbDmDFjWLRoEXPnzmXbtm2cOnWKzZs3ExMTw+LFi4mJiWHz5s0AZGdnU1RUxOLFi5k4cSIrV64EwGw2s3HjRubNm8e8efPYuHEjZnNjs3rFihU88cQTLF68mKKiInJyclqwysKdqNVqfve73zHnttuYm5rKdj8/ioqK2L59O9HR0cyePZvo6GhSU1MBia9rybp1OkaNMtKzZ0c++cT3F/ezWBqHJz3+uJkjR04361jOS7ls8gwJCbH/Zffz8yM8PByTyURmZiZDhgwBYMiQIWRmZgKwd+9eBg8ejEqlIjo6mqqqKsrKysjJyaF3797o9Xr0ej29e/cmJyeHsrIyampqiI6ORqVSMXjwYPu5hOcLCgqiU6dO+H78MT4+PrTv3JmKigry8vLo90P3vV+/fuTl5QESX57u2DENr74awG23tee554LZs8eH8nI1L70UiPILsyr37/eirk5Fv34W/Pxar6xXdM2zuLiY48ePExUVRUVFBSEhIQAEBwdTUdG4xJPJZCI0NNR+jNFoxGQyYTKZMBqN9u0Gg+Gi25v2F9eQhgZ8t23j1PDhnCos5Prrr6eyspKgoCAAAgMDqaxsXMxB4stz5edrufvudixdGoC/v8LMmec4fvw0r79exnffafnmG6+LHtfUZb/55tbprjdxuIFbW1vLwoUL7deezqdSqVrlGlJqaqq9+zZ//vwLfonaOq1W61H1AcfrpPrf/6gvK2Nphw489thjREREoFarLzj2p+9bgifHF7h3jG3cqObRRzX4+MDu3fX07asAvoAvDzwATz8NubkhDB/+43jNpvrk5WkID1fo3bt1n3DlUPJsaGhg4cKF3HHHHfTv3x9o7G6VlZUREhJCWVkZgYGBQONf/JKSEvuxpaWlGAwGDAYD+/fvt283mUzcdNNNGAwGSktLf7b/xSQkJJCQkGB/f/7ntHWhoaEeVR9wvE76tWtZPHgwfW6/na5du1JSUoK/vz9Hjx4lKCiIiooK/P39KSkpkfi6Cu4aY0VFahIT29O7dz0rVpi47job5xdTpYLAwI4cOlRLScmPM4VCQ0MpLi4hNbUD8fE1lJSUN0t5wsLCHNrvst12RVFITk4mPDycu+++2749Li6OHTt2ALBjxw779am4uDh27tyJoigcOnQInU5HSEgIsbGx5ObmYjabMZvN5ObmEhsbS0hICH5+fhw6dAhFUdi5cydxcXHO1Fm0QUp1NWu//54O7dox9Fe/sm/v1auX/dpkZmYmMTExgMSXp1EUePbZYOrqYPHiMq677uIzgcLDrZw69fO2Xn6+FyaThvj45p237ojLtjy//fZbdu7cSefOnXnmmWcAeOihh7j33ntZtGgRaWlp9qFKAH379iUrK4snn3wSb29vEhMTAdDr9dx3330899xzANx///3o9XoAHn/8cZYvX47FYiE2Npa+snL4NeP7TZv4PDycsIAA9v397wDcfffdJCQksGbNGnbv3o3BYOCxxx4DJL48zaZNfmzf7stLL1UQGfnLq7s3Js+fP61txw4fgKt+HpEzVIryS/ew3N/p06ddXYRm465dqqvhSJ1CHn8c76wszmRm4sijDB3tUjUHT4ovcM8Yu/9+IyUlatLSzqK+RD/4+eeDeP99Pw4cKLLP3A0NDSU+XuHcOTWffnq22crUbN12IVqKqqIC3+3bG5efu5pnwIo26ehRDV995c2dd9ZeMnECxMRYqKxUc+TIj53lykrIzPRmyJDWmVH0U5I8hcv4ffQRKouFmt//3tVFEa3MaoXExBCCg20Ore5+662Nw5D27PlxJtHWrWoaGlQuud4JsjCIcCHd+vXUR0VR37u3q4siWtkXX3iTn+/NkiVldOp0+SdZdu1qJTjYZh/rqSiwZImabt3que221h3f2URansIlvPLy8M7OplqWn7vmKAqsX++Pr6+Nu+5yrMutUsGNN9Zz4EBj8szO9uLrr9VMmFB12S5/S5HkKVxCt24dNj8/qu+/39VFEa3so4982brVj7Fjq/Hzc/x+9U031XPwoJaqKhXbt/uiViv8/vc1LVjSS5Nuu2h1qnPn8EtJoebee1F+mIIprg2N3W09Xbs2MGvWlT0aY+TIGv79b3969+5Iba2Kfv1sBAa6brCQtDxFq9Nt3Ii6pqaxyy6uKdu3+5CX501iovmKB1j061fPpElV1NY2Xua5557mf7TGlZCWp2hdioJu3TossbFyo+ga09AAc+cG0qVLA/ff79zz059//hy9e1tYsULPhAn84kpLrUFanqJVeWdk4HX4MFU/zBgS14533tFx6JAXzz9/Dm/vy+9/MSoV3HNPLVu2lHDeYlkuIclTtCr/tWuxBQdTM3Kkq4siWlF2thcvvxxI//51Dt9hd3eSPEWrURcW4vvJJ1Q/9BCtumqtcKn6epgxI5igIIXly8s8ZmSaXPMUrcb/7bfBZqNqzBhXF0W0km++8eKhh4yUl6tZtcpEx46uvcnTnKTlKVqFymxGt3o1dcOGYb3+elcXR7SCBQsCuOuudpRbj++iAAAgAElEQVSXqxk6tLbVnmrZWqTlKVqF/5o1aMrKMP2wdKHwXIoCW7f6kpQUQL9+dUyaVMWgQXUe011vIslTtLz6evxXraJ26FDqZS1Nj/bvf/uzYoU/332npUePet55x3RFs4jaEum2ixbn+8knaIqLqZJB8R4tM9OLv/41iO++0zJnTgX//e9Zj02cIC1P0dLq6ghYuJD6bt2oGz7c1aURzWDLFl9Wr/bn3Dk1Tz1VSUJCLV5eMGtWMNddZ2XHjmL8/T03aTaR5ClaVOCCBXgdPkzpunWy4LEH+PBDXxITQ/DzU7BYVEyaZECvt+Hrq1BSoiE52XRNJE6QbrtoQeoVK9C/8QZVo0dLq7ONKylRc/CglueeC+bmm+v55psijh0r5J13Srj77hosFhV3313D3Xd71h31S5FnGLkJd3y+jLNUlZUEzpmD/7vvUjtsGKZVq3B6Pt5PyDOMrpyigNmsYtOmdnz+eT1TppiJjm7g7bd15OV58d13Gvz9FebMOUdUVIP9uPr6xge0vfWWP1lZjT+/wEAbH35YQvfuDRd8hs3WOHWyNe+ot9TvjKMxJt120ay8v/yS4OnT0Xz/PdZnn8U0eXKzJU5xaecnsCNHtLz2WgCVlWpOnNDw3XdNv+paPv7YD7VawWZrzHQBATb784E++qgEg6FxIPtf/xrEm2/60717Pc89dw4fH4WEhFq6dv35yu+uWpDYlSR5imahqqkh4NVX8f/3v7Fefz0lKSkE/eY34CGt6ZaiKI0tvNpaFbW1KurqVPbXtbUX315To6K6uvHfpq+yMjU7dvig1yvExlrYs8eH8nI1Op2NuDgLv/tdDXFxftTXn+Ozz3woLNTwxz+a8fGBfv0s5OR4MXJkOzZs8GPy5Cq2bfPlzTf9mTjRzAsvnPO4MZrNwW2SZ05ODqtXr8ZmszF8+HDuvfdeVxdJ/AJVTQ1eWVl479mD17ffouh0eH/1FdqCAszjxlE5axaKTufqYl7AmfhascIfqxVsNhVWKz98/fjaZmt839Dw42urFerrVdTV/VJCbNr24/cVxbnMpNEo6HSNX2o1tGtno0ePenbs8OG662y8804p3bs32IcLhYb6UFJSe9GFOW6+uZ5evSysXKmnsFDDe+/p6NXLwnPPSeL8JW6RPG02G6tWrWL27NkYjUaee+454uLiiIiIuORxfu+/3xi1NhuqH/61v7dawWJBVV/fuJAgNPYtNBoUjeair9FoUH7ptUbT2B/64RKxSlEaX//0C37+vmn/Jufv98O/6oAA/CorL/o9lcXS2DyBHy8qNfXPLvKlnH/xSatF8fP78cvbG6/8fLwOHEDx8kJz9iy2kJDG9TV79sTr229Rm0xYw8PRHjyIqroadXU1NDSgOXUK7ZEjaM6cQVVfj6JSYb3+elQ1NVg7dKDkvfewDBx4xT//luZsfM2Zc/FV7lUqpSksUKsVtNofX2s0oNWCr69ywVdISOMdaR+fpm2c91r5yfcav3+x7T4+PyZML6+Ll9tisYftFXn22UqmTg1h1So9fftaeOONMrnicglukTyPHDlCx44d6dChAwADBw4kMzPzssEd8uSTrVG8VhPSip+l+PigeHlhCw1FffYs/mvX/nwflQq8vFB0OhStFlu7dlhuvRVrWBiWfv2w9OvXJh6j4Wx87dtXeNEk6e4tMWcT3vDhdezbV0RJiRqDwSYjyy7DLZKnyWTCeN7KpkajkcOHD1/2uDO7djW2Gn/4Us57jUaD4uWF4uXV2BQAsFobW6g/9sEueG9vvV7qez9t4cHPW3+/sO2CYQ3n7weEGAyUlZVd9HuKt/ePvxG/1OL94UvVtE/TvxYLqtpaVDU1jV+1tVi7dqWhW7cfP8dqxfe//wWgIToaW0gImu+/pyE6GkWvv+zPwd05G1/BwW12IIrTVKrG7r+4PLdIno5KTU0lNTUVgPnz59Ph9ttdXKLm1cGVHz5p0oXvm2kOemsOLbpaP42vtlR2R3lanVxZH7cYYGAwGCgtLbW/Ly0txWAw/Gy/hIQE5s+fz/z585k5c2ZrFrHFeVp9wH3qJPHVyNPq5Or6uEXy7NatG4WFhRQXF9PQ0EBGRgZxcXGuLpbwEBJfoiW4Rbddo9Ewfvx45s6di81mY+jQoXTq1MnVxRIeQuJLtAS3SJ4AN998MzfffLPD+yckJLRgaVqfp9UH3KtO13p8gefVydX1adNz24UQwlXc4pqnEEK0NW7TbV++fDlZWVkEBQWxcOFCAAoKClixYgUWiwWNRsPjjz9OVFQUiqKwevVqsrOz8fHxITExkcjISADS09PZtGkTAKNGjSI+Pt5VVbpknWpra2nXrh1PPvkkuh+mMr777rusX7+eyMhIxo0bR2xsLAD/+te/yMvLA3Dp1NWSkhKWLVtGeXk5KpWKhIQEfvvb32I2m1m0aBFnz56lXbt2TJ8+Hb1e71Y/J4kvSElJIS0tDbVafUF8udPU6DYVY4qb2Ldvn3L06FHl6aeftm/729/+pmRlZSmKoihff/218uKLL9pfz507V7HZbMq3336rPPfcc4qiKEplZaXypz/9SamsrLzgtatcrE4zZ85U9u3bpyiKomzfvl155513FEVRlJMnTypTp05VRowYoUyePFmZMmWKYrValSeffFIJCwtT8vPzlfr6emXGjBnKyZMnXVIfk8mkHD16VFEURamurlaefPJJ5eTJk8qbb76ppKSkKIqiKCkpKcqbb76pKIp7/Zwkvk4qM2bMUCwWi3LmzBl7fFmtVmXKlClKUVHRJePrjTfeUJ5//vkWr1NbijG36bbfdNNN6H8ym0WlUlFTUwNAdXU1ISGNExj37t3L4MGDUalUREdHU1VVRVlZGTk5OfTu3Ru9Xo9er6d3797k5OS0el2aXKxOp0+f5sYbbwSgd+/e7Nmzhw8++ID77ruPPXv2oNFo2LNnD9u3b+fXv/417733HoGBgTz//PPcf//91NbW0q1bN3r06HHJL51OR0FBQbPWJyQkxP5X3c/Pj/DwcEwmE5mZmQwZMgSAIUOGkJmZCbjXz+laji+AzMxMoqKi8PPz49Zbb+Wtt96ic+fOdO7cmbfeeov+/fuj1+sJDAy0//xcoS3FmNt02y/mscceY+7cubz55pvYbDZeeeUVoHG6XWhoqH0/o9GIyWT62TQ8g8GAyWRq9XJfSqdOncjMzOTWW29l9+7dlJaWMnz4cA4dOkTXrl0ZMGAAABMnTiQgIIDk5GT27dvHmDFjAPj000+JiIjg4MGDl/ycQYMGtWg9iouLOX78OFFRUVRUVNgTT3BwMBUVFYD7/5yulfiCxjoFBwcTERFBQUEBb7zxBn1/mEWWk5PDpEmTiI+PJzAwkA0bNjD9J4+IrqiooKGhgbfeeuuC7Q8++CDz589vkbq4e4y5dfL89NNPeeyxxxgwYAAZGRkkJyfz17/+1dXFuiqTJ09m9erVvP/++8TFxaHVatHr9Xz44YcUFRXh7+8PNF670mg0ZGdnU1NTw4YNGwgNDeWPf/wjAIsWLWLtD4t5FBUV4e3tbZ8188wzz7RoHWpra1m4cCFjx461X09rolKpULn7yhk/uFbi60r96le/4t1337W/P3LkCP369UNRFD744AP69OnTnEW+qLYQY27Tbb+YHTt20L9/fwBuu+02jhw5AjT+FTl/+f2m6XY/nYZnMpkuOg3PlcLDw5k9ezavvfYat99+u32ln6effpq///3v5OTkkJOTw2233cYDDzzA1q1bmTRpEjk5OaSmplJeXo5Go2H69On2fSdNmsTLL79sf//II4+0WPkbGhpYuHAhd9xxh/1nExQUZF/UpKysjMDAQMD9f07XUnwZDAbKy8vt+zWV/ad1Onfu3AV1amhoIDExkfHjx/PII4/wzDPPUN+0PGILaSsx5tbJ02AwsH//fgDy8/Pp2LEjAHFxcezcuRNFUTh06BA6nY6QkBBiY2PJzc3FbDZjNpvJzc2131F0F03dDZvNxqZNm/jVr37Fk08+yezZs3niiSfo06cPvXr14osvvuC///0vDzzwAIsWLaJXr1706dOHefPmodfrSU1NJTY2ltjYWJKTk3nhhRfs75v+z5qboigkJycTHh7O3Xffbd8eFxfHjh07gMaE1K9fP/t2d/45XSvxBY11+vrrrzl16hRhYWG8+uqrDBs2jGHDhvHqq68SFhbGl19+SX5+/gVTV2fMmMGQIUPo3r077dq1Y9SoUTz11FMtVv62FGNuM0g+KSmJ/fv3U1lZSVBQEA888ABhYWH2IRReXl48/vjjREZGoigKq1atIjc3F29vbxITE+nWrRsAaWlppKSkAI3DE4YOHepWdaqtrWXbtm0A3HrrrTz88MP2LsimTZv47LPPUKvVdOrUCT8/P/70pz+RlZXF2rVrsdls9OzZkzVr1rB7927758yZM4cuXbqQnp7Oyy+/TOfOnRk0aBBvvfUWXbp0abb6HDx4kBdeeIHOnTvby/zQQw/RvXt3Fi1aRElJyc+GkbjLz0niC5KTk3n22WcZN24cY8eOtV/zbIqvjRs38sQTT/DCCy8AMG/ePNLT0/nkk0/417/+xalTp3jllVe4//77uemmm3j55ZebvU5tKcbcJnley86/ftmkqKgIrVZ7wcVwgJ49e3L06NGLJs/u3btz8OBBJkyY0CLJU7RtBQUFxMfH/+IojPj4eObMmWP/NyUlhc8//5zAwECSk5PtybOmpoZf//rX3HjjjfzjH//Az8+vdSviJtz6htG1Yvr06Rfc3UxNTWXmzJkYjUamTJnCyJEj7d8rKCjgwQcfZNKkSfYEeu7cObRarf3C+okTJ1q3AsKjvPbaa2zevJk33niDgT88VqWsrIz6+no2b94MwMqVK/nb3/7GnDlzeO2111xZXJeR5OlGioqKWL58Oe+99x6bN2/GYDDYbxpNnjz5gms2ycnJlzxXWlpaSxdXeKjExEQmTpxISEgI+fn5ABe0PJt8+OGH2GzX7qrzkjzdwL/+9S9WrlzJ999/z4QJE/jyyy8JDg4GGluhb775JhMmTODkyZM89dRT5Obm0qNHj0ue87vvvmuNoos25vvvvycqKuoXvwcQEBDg0Lk0Gg2aa/hBR5I83cBvfvMbBgwYQExMzM/Gr2k0GsaOHcvYsWM5c+YMhYWFbNmy5YJrnhfT0oPkRdvTpUuXFh9mdC1x6IbR1q1bSUtLQ6VS0alTJxITEykvLycpKYnKykoiIyOZOnUqWq2W+vp6li5dyrFjxwgICGDatGm0b98eaBsLE7QFVqvVo/7iS3yJNulyk99LS0uVxMREpa6uTlEURVm4cKHy2WefKQsXLlR27dqlKIqi/POf/1S2bdumKIqifPLJJ8o///lPRVEUZdeuXcrrr7+uKMrVL0wgPJPEl2irHBokb7PZsFgsWK1WLBYLwcHB7Nu3zz4POz4+/oKJ+k1LPw0YMID8/HwURSEzM5OBAwfi5eVF+/bt6dixI0eOHLngmdpardb+TG1x7ZD4Em3RZa95GgwGRo4cyeTJk/H29qZPnz5ERkai0+nsXcfzJ92fPyFfo9Gg0+morKzEZDLRvXv3C87bdIwzz9QWnkHiS7RVl02eZrOZzMxMli1bhk6n4/XXX3fZMlw/fa62aPskvkRbddnkmZeXR/v27e0T8fv378+3335LdXW1/cbF+ZPumybkG41GrFYr1dXVBAQEXHKiviPP1IbGBz6d/9Cn06dPO1Fl9xQaGnrBAgeewJE65eTkoNfr7XOQo6OjycrKwmw2c/LkSTQaDcePH0en03HffdXcfLPEl7M8LcZaqj5hYWEO7XfZa56hoaEcPnyYuro6FEUhLy+PiIgIevbsaR8uk56ebl9M4JZbbiE9PR2A3bt307NnT1QqFXFxcWRkZFBfX09xcTGFhYVERUXJM7WvccHBwZw4cQKLxYKiKBw+fJiOHTsSFRVFbm4u0LiQb0xMDFlZ3hJfwm04NFTpP//5DxkZGWg0Grp06cKkSZMwmUwkJSVhNpvp2rUrU6dOxcvLC4vFwtKlSzl+/Dh6vZ5p06bZl8U6f+GLiy1M0PRM7VGjRjlUeE9qGXhaqwAcr9PHH39MdnY2arWaiIgIHnzwQcrLy1m3bh3V1dWEh4czYsSj9O3bibo6iS9neVqMubrl2aYXBvGk4Pa0wIbmrVNqqg+PPWakNaPVk+ILPC/GXJ083Xo9TyGaZGV5o9G02b/zwgNJ8hRtQlaWNzfeKFMLhfuQ5CncntUKOTle9O0ryVO4D0mewu0dOKClslLNrbdaXF0UIewkeQq3l5npDSDJU7gVSZ7C7X31lQ9hYQ1ERFhdXRQh7CR5CremKPDVV97S6hRuR5KncGsnT2ooKtLQr58kT+FeJHkKt7ZnT+P1zv79JXkK9yLJU7i1zExvAgNt3HBDg6uLIsQFJHkKt/bVV97ExVlQS6QKNyMhKdxWaamaw4e95GaRcEuSPIXb2rWr8Xrn7bfXubgkQvycJE/htr74woeAABu9e8u0TOF+JHkKt7Vrlw8DBljQXvZ5B0K0Pkmewi2dPKnhxAktgwZJl124J0mewi198UXj9U5JnsJdSfIUbmnnTh/atbPK+E7htiR5CrdTXw+ffebLsGF1qFSuLo0QFyfJU7id3bu9OXdOzZ131rq6KEL8Ikmewu3873+++Poq3HGHXO8U7kuSp3Ar9fXw4Yd+DB1ai04nD3wT7suhEXRVVVUkJydz8uRJVCoVkydPJiwsjEWLFnH27FnatWvH9OnT0ev1KIrC6tWryc7OxsfHh8TERCIjIwFIT09n06ZNAIwaNYr4+HgAjh07xrJly7BYLPTt25dx48ahkotd14zq6mo2bNhAYWEhVVVqrNYp3HuvL8uX/wuTyYTBYGDs2LHodDqJL+E2HGp5rl69mtjYWJKSkliwYAHh4eFs3ryZmJgYFi9eTExMDJs3bwYgOzuboqIiFi9ezMSJE1m5ciUAZrOZjRs3Mm/ePObNm8fGjRsxm80ArFixgieeeILFixdTVFRETk5OC1VXuKOUlBR69OjBrFmzOH16Lt7eHamv/4jo6Ghmz55NdHQ0qampgMSXcB+XTZ7V1dUcOHCAYcOGAaDVavH39yczM5MhQ4YAMGTIEDIzMwHYu3cvgwcPRqVSER0dTVVVFWVlZeTk5NC7d2/0ej16vZ7evXuTk5NDWVkZNTU1REdHo1KpGDx4sP1cwvPV1NRw9OhRBgwYwKFDWj79NIAHHlCxf38e/fr1A6Bfv37k5eUBEl/CfVy2215cXExgYCDLly/nxIkTREZGMnbsWCoqKggJCQEgODiYiooKAEwmE6GhofbjjUYjJpMJk8mE0Wi0bzcYDBfd3rS/uDaUlpai1+t5++23+eqrM/Tv343HHvstSUmVBAUFARAYGEhlZSUg8SXcx2WTp9Vq5fjx44wfP57u3buzevVqexe9iUqlapVrSKmpqfbu2/z58y/4JWrrtFqtR9UHHKvTuXPnOHXqFIMHT+Avf+nB2LGrOXBgF2q1+oJjf/q+JXhyfIHnxZir63PZ5Gk0GjEajXTv3h2AAQMGsHnzZoKCgigrKyMkJISysjICAwOBxr/4JSUl9uNLS0sxGAwYDAb2799v324ymbjpppswGAyUlpb+bP+LSUhIICEhwf7+/M9p60JDQz2qPuB4nYKCgvi//4skKEjh//2/aPbsScXf35+jR48SFBRERUUF/v7+lJSUSHxdBU+LsZaqT1hYmEP7XfaaZ3BwMEajkdOnTwOQl5dHREQEcXFx7NixA4AdO3bYr0/FxcWxc+dOFEXh0KFD6HQ6QkJCiI2NJTc3F7PZjNlsJjc3l9jYWEJCQvDz8+PQoUMoisLOnTuJi4tztt6ijQkMDEStNpCdXcrTT1dy+vS3dOjQgV69etmvTWZmZhITEwNIfAn3oVIU5bKD6QoKCkhOTqahoYH27duTmJiIoigsWrSIkpKSnw1VWrVqFbm5uXh7e5OYmEi3bt0ASEtLIyUlBWgcSjJ06FAAjh49yvLly7FYLMTGxjJ+/HiHLgM0JXRP4GmtAnC8To88YsbXdxXdu9cSGmrk4YcfRlEU1qxZQ1lZGQaDgcceewx/f3+uu+46iS8neVqMubrl6VDydFeeFNyeFtjgWJ0OHNCSkNCeWbPO8ac/mS97TkcDuzl4UnyB58WYq5OnzDASLvWf/+jw9lZ4+OEqVxdFiCsiyVO4jKLAtm2+DBpUR0hIm+0ACQ+hKLBvn+OPLZDkKVzm4EEtJ05o+c1vZPUk4XoHDmj59a/bO7y/JE/hMlu3+qFSKfz615I8het98okvKpXjPSBJnsIlqqtVvPuujvj4Otq1s7m6OELw8cd+xMVZHN5fkqdwiaQkPWfOqJky5fJ32IVoaSdOaNi/34u77nK8FyTJU7Q6RYEtW/wYOrSOAQMc/0svREv5+GNfAEmewr199ZU3332nvaJAFaIlffyxHzfdVE/nzlaHj5HkKVpFWpoPX33V+DjhZcv0GAxWfv/7GheXSgj4/ns1e/d6c/fdVxaPjg9qEsJJ+flaxoxpXBbuP/8pYft2X2bMOIefn4ztFK63ZYsfAPfcc2XJU1qeosW9+aa//fUDD4Si09kYO1ZmFAn38OGHfvTubaFrV8e77CDJU7Qwmw0++siXESN+/Kv+l79Uyowi4RYKCjTk5nrzu99d+SUkSZ6iRe3fr8Vk0lwwEF5ancJdNHXZR4688puXcs1TtKjPP/cBYNCgOj77rBirFbQSdcINKAp88EHjwPjw8CvrsoMkT9HCPv/ch+joejp2tNGxo8wkEu4jP9+LAwe8mDu33KnjpdsuWkxZGXz5pQ9DhtS5uihC/MyGDX74+Cjce69zQ+YkeYoWUVio5okntFgsKu67T8ZzCvdSWwspKTp+85sagoOdu3kpyVO0iDfe0PPBB2rGjq0iJqbe1cUR4gLbtvlSXq7mD39w/g+7JE/RInbv9uGOO2zMnVvh6qII8TOrVunp3LmBQYOcv6QkyVM0u4oKFfv3axk6VG4QCfezd68XX3/tzcSJZjQa588jyVM0u8xMbxRFxaBBMhBeuBdFgQULAgkJsV5Vlx0keYoWsGePN15eCrfeKslTuJdt23zZtcuHP/+5Ep3u6uLT4XGeNpuNmTNnYjAYmDlzJsXFxSQlJVFZWUlkZCRTp05Fq9VSX1/P0qVLOXbsGAEBAUybNo327RufC5KSkkJaWhpqtZpx48YRGxsLQE5ODqtXr8ZmszF8+HDuvffeq6qUcK2MDB9uvtmCn5+KKgcnE9lsNhYuXEhQUBATJ06ktLSUtWvXUl1dTUREBKNHj5b4Elfl8GEtTz8dzI031jN6dPVVn8/hludHH31EeHi4/f1bb73FiBEjWLJkCf7+/qSlpQGQlpaGv78/S5YsYcSIEaxfvx6AU6dOkZGRweuvv87zzz/PqlWrsNls2Gw2Vq1axaxZs1i0aBFffPEFp06duuqKCdeoqFDxzTde3H77lS1yvGPHDjp06GB/v2XLFuLj45k9ezY6nY7du3cDEl/COSUlah591IC3t8Lq1Sa8vK7+nA4lz9LSUrKyshg+fDgAiqKwb98+BgwYAEB8fDyZmZkA7N27l/j4eAAGDBhAfn4+iqKQmZnJwIED8fLyon379nTs2JEjR45w5MgROnbsSIcOHdBqtQwcONB+LtH27N7tg82m4vbbHb+LWV5ezv79++3xpCgKhw8fpk+fPgD069ePvLw8QOJLXLmaGhg3zkBxsZrVq0106nTlUzEvxqHkuWbNGkaPHo1KpQKgsrISnU6H5odbVQaDAZPJBIDJZMJobFy7UaPRoNPpqKysvGD7+cf8dLvRaLSfS7Q9O3f64Otro29fx1ueKSkp3HPPPfb4qqqqws/Pzx5fwcHBVFQ0DnmS+BJXwmaDadNCyM72YsmScvr2bb4xx5e95vn1118TFBREZGQk+/bta7YPdkZqaiqpqakAzJ8/n9DQUJeWpzlptdo2Xx+rFbZt8+LOOxXCw0MdqlN2djahoaH07duX/fv34+3tjdFoRK1W249VqVSt8v/jyfEFnhFj53OkPrNna9i6VcOrrzbw6KN6QN98n3+5Hb799lv27t1LdnY2FouFmpoa1qxZQ3V1NVarFY1Gg8lkwmAwAI1/8UtLSzEajVitVqqrqwkICLBvb3L+MedvLy0ttW//qYSEBBISEuzvS0pKnKu1GwoNDW3z9dmwwY/CwhBGjCijpKTWoTrl5OSwd+9esrKyaGhooLa2lpUrV1JVVcWZM2fQaDQcP34cf39/SkpKJL6ugifE2PkuV5+0NB8WLDAyenQVY8ZU4GjVw8LCHNrvst32hx9+mOTkZJYtW8a0adPo1asXTz75JD179rRfxE9PTycuLg6AW265hfT0dAB2795Nz549UalUxMXFkZGRQX19PcXFxRQWFhIVFUW3bt0oLCykuLiYhoYGMjIy7OcSbcvKlXp69bJc0YPdRo4cyUsvvcSLL77Io48+Svfu3RkzZgxRUVHk5uYCkJmZSUxMDCDxJRxjNqtYsCCA666z8sorFfxwRahZOb0k3SOPPEJSUhLvvvsuXbt2ZdiwYQAMGzaMpUuXMnXqVPR6PdOmTQOgU6dO3HbbbTz99NOo1WomTJiAWt2Yu8ePH8/cuXOx2WwMHTqUTp06NUPVRGvKz9eyf78XL75YgboZRg+PHDmSdevW2Ud5NN1MkvgSl1NTo2Lq1GDy8xuvczbHnfWLUSmK0mZHMp8+fdrVRWg2bbVLVVOj4sUXA1m/3h+j0Up6ejEGQ2NItUSdHO1SNQdPii9ouzH2S86vz5493hw8qOWxx6p55ZVA3nhDz1//WsGkSVf+1AJHY0wWQxZXZf16HevXNz7gLTHRbE+cQrSWs2fVjBrVeOPIbFazbp2OkSNrnEqcV0KSp7reIjMAABYjSURBVLgq773nR3R0PYmJ5it+dKsQzeHllwPRaBSsVhXz5gUCMH16ZYt/rsxtF047cEBLfr43Y8ZU8//+Xw0+Pq4ukbjWHDigJSXFj0mTzPZtL79cwQ03NLT4Z0vyFE7buFGHVqs49dhWIa5WerqKqVND0OsVJk82YzQ2zhz6wx+uft66I6TbLpzS0ACbNvkxfHgtRqOs2ylaR2mpmunTgykuVpOX13gbfd68ckJCFDZtKmHfPi/0+ta57i7JUzjl8899KC7WcP/90uoUrWfpUj3bt/sC0L69wubNxVx/fWOLMyrKSlRU88xbd4QkT+GU997zIzjYxvDhjg+IF+Jq1NU19naGDaslPr6OO+7Q2ROnK0jyFFfMaoVPP/XlvvvkJpFoeVYrPPNMMBs2/P/27j04quoO4Pj37iObzS4bdjc8QngIhChIYsDwkkKgjaNDU7VYbUFtEKwVRCsMnUKHQa3CxLFpGCyYikgZRNqREqivCfIuEjAIiQhFJCAEIYTNbh6b12Z3T//YshgJECLJ3l3PZ4Yhe3M3nMP95bf3nHseMQD85jcuxo/3EBdnbPOUy44gHxhJN+zUKS0NDRruvPPG1uyUpPYoLIwKJs5p0+oYN04dcSfvPKU2EyLwoOiTTwK3m0OGyC2FpY733ntGTCY/JSXlGI2hLs1lMnlKbfbyyxby8i4v6ZWY2PFj6SSpsDCKMWM8qkqcIJvtUhtduKBpkTj79/cSHR3CAkk/CBcvaigt1TNqlDqa6t8m7zylNikoCGTK7dsr+OQTA+PHt32bDUlqr337ogAYPVp98SaTp9QmBQXR3HKLl6Qkb6dMfZMkCKyWFBPjJzlZff3rstkuXVdtrcInnxi4557GDllUVpKuZt8+A2lpng5bk/P7kHee0jUtWmRh714Dzc0K994rB8RLncflUjh2TMfPfqbOWWwyeUpX5XYrvP22iaYmBbvdJ8d1Sp1q82YjQihMnKi+/k6QyVO6hp07DTQ1Kfz+9zUMH+7h/zsBS1KHEwJWrzaRmuohJUV9/Z0gk6d0FefOafjnP2OwWn3Mnu1GJyNF6kR79kRx4oSepUtdoS7KVclfCekK585pSE/vTn29hunTZeKUOt+aNSZsNp9q+ztBPm2XWpGXZ6a+XsPkyfX88Y8dv52BJH3b6dNaCgqimTq1XtUTMeQ9hdTCoUN61q0zcf/99bz2WlWoiyP9wHi98NRTVkwmwa9/3bEbuH1f102eDoeD5cuXU1VVhaIoZGRkMGnSJNxuN7m5uVy8eJFu3boxZ84czGYzQghWr17NoUOHMBgMzJo1iwEDBgCwc+dONm7cCMDkyZOZMGECACdPnmT58uV4PB6GDRvG448/jiIHFIbE6tUmoqIEL7xQ0yn/nsvlYt26ddTW1qIoCmPGjCE9PZ26ujrWrFmD0+nEZrMxbdo0YmJiZHxFuL/9zcznn0eRl+ckIUHdOxRct9mu1Wp57LHHyM3NZfHixRQUFHD27Fk2bdpEcnIyy5YtIzk5mU2bNgFw6NAhysvLWbZsGU8++SRvvvkmAG63mw0bNrBkyRKWLFnChg0bcLsDmzatXLmS3/72tyxbtozy8nKKi4s7sMrS1TQ3w7Zt0dx9dyPdu3dO4Go0Gu6//34WLFjAc889x549eygvL2fbtm0kJSWxcOFCkpKS2Lp1KyDjK5J9+aWOP/+5C5MmNZCZqf4xxddNnlarNfjJbjQaSUhIwOl0UlRURHp6OgDp6ekUFRUBcODAAcaPH4+iKCQlJVFXV4fL5aK4uJiUlBTMZjNms5mUlBSKi4txuVw0NDSQlJSEoiiMHz8++LOkzrVzp4GqKg2ZmZ3XSR8bG0ufPn0AiI6OpkePHlRXV3P48GFGjBgBwIgRIzh8+DAg4yuSrVxpQqcTZGdXh8VMtht6YFRRUcGpU6dITEykuroaq9UKQNeuXamurgbA6XQSFxcXfI/dbsfpdOJ0OrHb7cHjNput1eOXzpc634YNMdjtvpANSq6srOTs2bP069eP2tpaYmNjAbBYLNTWBh5cyfiKTPX1Cu+9ZyQzM3w2FGzzA6PGxkZycnKCfU/fpihKp/Qhbd26Ndh8y87ObvFLFO50Ol1I63P6NHz8sZ4ZM/zEx9+cctxInRobG1m6dClZWVn07t0bjUbT4r3ffd0RIjm+IPQxdi1r1mhwuzU8+aS+zWUMdX3alDy9Xi85OTmMGzeOUaNGAYHmlsvlwmq14nK5sFgsQOAT3/GtjUUqKyux2WzYbDaOHj0aPO50OhkyZAg2m43Kysorzm9NRkYGGRkZwdeOUG5gcpPFxcWFtD7z53dFo9GRleXA4bg5m2q1tU4+n4833niDO+64g/79++NwODCZTJSWlhIbG0t1dTUmkwmHwyHj63sIdYy1xuuFqioNL7wQx9ChHm691dHmfYk6qj69evVq03nXbbYLIcjLyyMhIYHMzMzg8bS0NHbt2gXArl27gv1TaWlp7N69GyEEx48fJyYmBqvVSmpqKiUlJbjdbtxuNyUlJaSmpmK1WjEajRw/fhwhBLt37yYtLa09dZbaweOBBQti2bzZyNSp9fTu3bm7EQohWL9+PT169GDixInB40OHDg32TRYVFZGcnAzI+Io0ixdbuOOOnpw7p+PFF2vQhNHIc0UIcc0d4o8dO8aiRYvo27dvsGk+ZcoUBg0aRG5uLg6H44qhSqtWraKkpISoqChmzZrFwIEDAdi+fTv5+flAYCjJpV+W0tJSVqxYgcfjITU1lenTp7epG+DcuXPfq/Jq0tl3BWfOaJk7tyuFhYH9iB58sJ4XX6zGar1mONyQttTp5MmTLFu2jPj4+OA1z8zMpF+/fvz973/H5XJhs9nIysrCZDIRHx8v46ud1HbnKQT07h24y5s9u5YFC25sQkao7zyvmzzVLJKCuyMDu6xMS3y8LzjN8t13jTz3nLXFOWfOnLvpC390RJ3aGtg3QyTFF6gveX7xhY577ulOTo6LX/3qxkd4hDp5htFNstQeZ85oGT26B488EnjiXFSkZ86crgBMnVrHgQPl/Oc/F+SKSVKnKygwoiiCjAx1Ljl3PXJ6ZoS7tPfQnj0GqqsV1q410aWLYN++ciwWERbj6aTI43IpvPmmiQkTmoiLC4+hSd8l7zwj3KXkCZCT04V//SuGSZMaiI2ViVMKnT17DNTUaPjd78J34RmZPCNYVZXCp59GMWNGYJriqlWBrYPvu0/9U9+kyFZYaMBk8pOaqs6FjttCJs8I9umnUfh8Cj/9aSPLl7vo1s3HlCl1jB0bnn1MUuQoLIxi5Eh1buzWVrLPM4Lt328gKkpwxx0eRo2CBx5Q78Ky0g+Hw6Hh+HE9Dz4Y3vEo7zwj2P79UaSmelS9oKz0w7NvXxQAY8aEdwtIJs8IVV+vcPiwnpEj5Y6XkroUFhqIifGrdmO3tpLJMwJ8840Gz7dypNcLW7ca8HoVxo6VyVNSDyFg2zYDo0eHd38nyOQZ1r78Ukd2dhdGjuzJq692AQLB+ctf2pk500avXl75cEhSlc8+01NWpuO++8K7vxNk8gxLPh+sWGHm4YftvPZaIGm+844JIQL9nPv2Bearz5hRJ2cOSaqyaZOR6GjBvfeG/3A5+bQ9jHzzjZYjR3Q0NCgsXmwhNdXDO+9U8sUXeubOtVJQEM1HH0VjNPp55ZVq7r8//D/dpchx7JiOdetMZGY20KVL2C6pESSTp8qVlmo5cULPli0G/vEPU/B4t24+Nm92oNPBrbd6efVVC2+/HcP+/VH8/OcNYT8MRIo8q1aZ0GoFL77YOZsLdjSZPFXm7FktDz1k58wZHSNGNHHoUBRe7+V5lDNmuPnwQyMvvFAdXCVJp4Mf/aiJd98NrPD/0EMycUrqcvKklg0bYnjooXpstvCcy/5dss9TJXbsUFi0yMLYsd05cyaQFYuKDDz6aD2xsX5MJj+7d1/gT3+q4cCBC1fsLnipiT5qVBMjRsgn7JK6ZGdb0OsF8+aF71z275J3niqweXM0s2fr8PsDYzfmzavhv//V88wzbpKTm3nmmVoMBnHNhYonTmxix44Kunf3yQU/JFUpLtbzwQdG5s6t7bQtrTuDTJ4h8P770ezbF0Xfvj7eestEWZmOvn0Fq1dXEB/vIza2ZZLs2bNtAZeU5O2I4kpSu3m98PLLFqxWH08+6Q51cW4qmTw70McfG1i/PoazZ3XY7T7OnNFx/ryWpqaWt4aPPlrHX/+qp65OJj8pcjQ0KDz1lJXCQgPZ2VUR8YT922TyvIm8XmhuhuZmhW3bopk924rZ7GfkSA8XL2qIj/eRnNzMsGEezGZBcbGeGTPquO02L0ZjHHV1oa6BJLXNRx9F8/zzFoQItHiWLKmmX7/LmwdWVmqYNs3GoUN6Fi+u4rHH6kNY2o4hk2cbNDaCRgOKArW1CqdP69iyJZqDB6MYPLiZkhI9NTUaysq01NVdfgY3bJiHd991YDS2/nMfeaSTKiBJN4HPB06nhoKCaF5+2YLd7ic11cOmTTHk5vpZurQKgB07DDz9tJXGRoU33nAxaVL4D4hvzQ82eTY1XUqGGmJiBM3NYLEI6uoUvvpKx8mTOrRaQVFRFOvWmfB4FLRagc93uclttfooLIxi6NBm7HY/o0d7MJv9mM2C+Hgf99zTeNXEKUlq4/fDli3RlJVpMZkEjY0K589r2L3bQP/+Pj7/XM/p04GUcfvtzeTlORkwwIfLpeHYMR3V1QpvvWXiL3/pwm23eVm2zMXgwZHbFRXWybOyUkNVlYJGA16vwtmzgbmIPh/07OnD51PweKCmRoPTqcHh0OD3K3z2mZ6dO6Nb9D1qtYKEBB8VFVoaGy8fj4oSZGY20LevD68XTCbBLbd4GTTIy+DBXvx+wmqvaUmqq1OoqAgEbXm5lqoqDR9+GM377xvxeK4cqtGvn5cPPtDTr5+PBQtqGD7cw5gxnuCojqQkLytXmvnxj7tTXq5l0qQGli6twmSKrD7O71JN8iwuLmb16tX4/X5+8pOf8MADD1z3PSkpPdv1b9lsPh55pA69Hnr08FFTo6GpSaG8XIPd7mfMGA/9+3vxeqFXL981hwjJxBke2hNfauf7fxej1xtoQdXUKFRWajh9WkdNjYYDB/To9bBrlwGbzY9Go8Xv78bXX+uueGgJ8Itf1HPLLV6GDm1m8GAvRqOga1c/Wm0g4RqNotV4T04OLC1nMAj+/e+L3HlneC8111aqSJ5+v59Vq1axcOFC7HY7CxYsIC0tjd69e1/zfS+9VI3F4qemRoPJ5GfAAC+KAn5/IIi0WoFOBxaLH6vVT48efjweBZPJj8HQSZWTQq698ZWd3QUhAitV+f3K//+mxd+tfe/y10qL8wNlufyeb5/f2nsuHfP7FbzeSw8kFb75RotGA1VVgaUIhWh9YK/N5qO+XoPZ7KdXLx9CaNHpfNx+ezPjxjWhKBAX58dkEthsfhITr97EvtZd5AMPNHDbbYGE+0O6mVBF8jxx4gQ9e/akR48eANx1110UFRVdN7inT2/P4+nIbkpIV2pvfL3+uhlFufywUFFE8PXlY4Hjl15f+h6ARiNavP/y8Su/d+mPRiNaPV+vFxgMYDL5ufVWL1qtoEsXQXS0wGAQWCx+LBZBly6BmwS73U98vK/FqlpxcXE4HM6b/d+LVgu33x65fZtXo4rk6XQ6sdvtwdd2u52vvvoqhCWSIkl74+v06fMdWSwpzKkiebbV1q1b2bp1KwDZ2dn06tUrxCW6uSKtPhBedYr0+ILwuh5tEcr6qKKHwmazUVlZGXxdWVmJzWa74ryMjAyys7PJzs5m/vz5nVnEDhdp9QH11EnGV0Ck1SnU9VFF8hw4cCDnz5+noqICr9fL3r17SUtLC3WxpAgh40vqCKpotmu1WqZPn87ixYvx+/1MnDiRPn36hLpYUoSQ8SV1BFUkT4Dhw4czfPjwNp+fkZHRgaXpfJFWH1BXnX7o8QWRV6dQ10cRQsixO5IkSTdIFX2ekiRJ4UY1zfYVK1Zw8OBBYmNjycnJAeDrr79m5cqVeDwetFotTzzxBImJiQghWL16NYcOHcJgMDBr1iwGDBgAwM6dO9m4cSMAkydPZsKECaGq0jXr1NjYSLdu3Xj22WeJiQnsPZSfn8/27dvRaDQ8/vjjpKamAuqZWuhwOFi+fDlVVVUoikJGRgaTJk3C7XaTm5vLxYsX6datG3PmzMFsNqvqOsn4Un98QZjFmFCJI0eOiNLSUjF37tzgsZdeekkcPHhQCCHEZ599Jp5//vng14sXLxZ+v198+eWXYsGCBUIIIWpra8XTTz8tamtrW3wdKq3Vaf78+eLIkSNCCCG2bdsm1q9fL4QQoqysTMybN094PB5x4cIFMXv2bOHz+YTP5xOzZ88W5eXlorm5WcybN0+UlZWFpD5Op1OUlpYKIYSor68Xzz77rCgrKxNr164V+fn5Qggh8vPzxdq1a4UQ6rpOMr7UH19ChFeMqabZPmTIEMxmc4tjiqLQ0BDY2Ky+vh6r1QrAgQMHGD9+PIqikJSURF1dHS6Xi+LiYlJSUjCbzZjNZlJSUiguLu70ulzSWp3OnTvH4MGDAUhJSWH//v0AFBUVcdddd6HX6+nevTs9e/bkxIkTLaYW6nS64NTCULBarcFPdaPRSEJCAk6nk6KiItLT0wFIT08Plk9N10nGl/rjC8IrxlSTPFuTlZXF2rVrmTlzJmvXrmXq1KlAYLpdXFxc8Dy73Y7T6bxiGp7NZsPpvPlzeb+PPn36BC/8vn37goO3r1b21qYWqqFOFRUVnDp1isTERKqrq4OJp2vXrlRXVwPqv04yvtQbX6D+GFN18tyyZQtZWVm8/vrrZGVlkZeXF+oifW8zZ85ky5Yt/OEPf6ChoQGdTjXdzm3W2NhITk4O06ZNC/anXaIoCkqYbN8p40u9wiHGVJ08d+3axahRowAYM2YMJ06cAAKfIg6HI3jepel2352G53Q6W52GF0oJCQksXLiQV155hbFjxwZX+rla2ds6tbCzeL1ecnJyGDduXPDaxMbG4nK5AHC5XFgsFkD910nGl/riC8InxlSdPG02G0ePHgXgiy++oGfPwOLHaWlp7N69GyEEx48fJyYmBqvVSmpqKiUlJbjdbtxuNyUlJcEnimpxqbnh9/vZuHEjd999NxCo0969e2lubqaiooLz58+TmJioqqmFQgjy8vJISEggMzMzeDwtLY1du3YBgYQ0YsSI4HE1XycZX+qKLwivGFPNIPmlS5dy9OhRamtriY2N5eGHH6ZXr17BIRR6vZ4nnniCAQMGIIRg1apVlJSUEBUVxaxZsxg4cCAA27dvJz8/HwgMT5g4caKq6tTY2EhBQQEAI0eOZOrUqcEmyMaNG9mxYwcajYZp06YxbNgwAA4ePMiaNWuCUwsnT54ckvocO3aMRYsW0bdv32CZp0yZwqBBg8jNzcXhcFwxjEQt10nGl/rjC8IrxlSTPCVJksKJqpvtkiRJaiWTpyRJUjvI5ClJktQOMnlKkiS1g0yekiRJ7SCTpyRJUjvI5ClJktQOMnlKkiS1w/8AYdFNpFk/keoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 360x360 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.font_manager import FontProperties\n",
    "myfont=FontProperties(fname=r\"external-libraries/微软雅黑.ttf\",size=12)\n",
    "fig2,axes2=plt.subplots(2,2)\n",
    "fig2.set_size_inches(5,5)\n",
    "fig2.suptitle(\"各国GDP\",fontproperties=myfont)\n",
    "ax1=axes2[0,0]\n",
    "ax1.set_title(\"中国\",fontproperties=myfont)\n",
    "ax1.set_xlim([1800,2040])\n",
    "ax1.set_ylim([0,80000])\n",
    "ax1.plot(year,china,color='red')\n",
    "ax2=axes2[1,0]\n",
    "ax2.set_title(\"美国\",fontproperties=myfont)\n",
    "ax2.set_xlim([1800,2040])\n",
    "ax2.set_ylim([0,80000])\n",
    "ax2.plot(year,usa,color='blue')\n",
    "ax3=axes2[1,1]\n",
    "ax3.set_title(\"日本\",fontproperties=myfont)\n",
    "ax3.set_xlim([1800,2040])\n",
    "ax3.set_ylim([0,80000])\n",
    "ax3.plot(year,japan,color='blue')\n",
    "ax3=axes2[0,1]\n",
    "ax3.set_title(\"俄国\",fontproperties=myfont)\n",
    "ax3.set_xlim([1800,2040])\n",
    "ax3.set_ylim([0,80000])\n",
    "ax3.plot(year,russia,color='blue')\n",
    "gfile='data/ddp.jpeg'\n",
    "if os.path.exists(gfile):\n",
    "    os.remove(gfile)\n",
    "else:\n",
    "    fig2.savefig(gfile)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "0d6cc7bc-26c1-43de-8340-35952d9f772e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-21T03:13:38.977429Z",
     "iopub.status.busy": "2022-03-21T03:13:38.976337Z",
     "iopub.status.idle": "2022-03-21T03:13:39.527602Z",
     "shell.execute_reply": "2022-03-21T03:13:39.526681Z",
     "shell.execute_reply.started": "2022-03-21T03:13:38.977385Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "\n",
    "import matplotlib.ticker as ticker\n",
    "fig,axs=plt.subplots(2,2)\n",
    "axs[0,0].xaxis.set_major_locator(ticker.MultipleLocator(0.5))\n",
    "axs[0,0].xaxis.set_minor_locator(ticker.MultipleLocator(0.05))\n",
    "axs[0,0].yaxis.set_major_locator(ticker.MultipleLocator(0.25))\n",
    "axs[0,0].yaxis.set_minor_locator(ticker.MultipleLocator(0.05))\n",
    "axs[0,0].tick_params(which='major',labelcolor='red')\n",
    "axs[0,0].tick_params(which=\"minor\",labelsize=10)\n",
    "#\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "83fe3879-0b7c-466c-8567-475b9173e19f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-21T03:32:21.680194Z",
     "iopub.status.busy": "2022-03-21T03:32:21.679164Z",
     "iopub.status.idle": "2022-03-21T03:32:21.921904Z",
     "shell.execute_reply": "2022-03-21T03:32:21.921095Z",
     "shell.execute_reply.started": "2022-03-21T03:32:21.680152Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(1950,5000,'1979年改革开放')"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "fig,axes=plt.subplots()\n",
    "axes.plot(year,china)\n",
    "axes.annotate('1979年改革开放',xy=(1979,1064),xytext=(1950,5000),arrowprops=dict(facecolor='r',shrink=0.05),fontproperties=myfont)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "5eb5d4f3-b887-404a-a072-7e4e6150a6f2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-21T03:14:19.412228Z",
     "iopub.status.busy": "2022-03-21T03:14:19.411539Z",
     "iopub.status.idle": "2022-03-21T03:14:20.245413Z",
     "shell.execute_reply": "2022-03-21T03:14:20.244600Z",
     "shell.execute_reply.started": "2022-03-21T03:14:19.412192Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.font_manager import FontProperties\n",
    "myfont=FontProperties(fname=r\"/home/aistudio/external-libraries/微软雅黑.ttf\",size=12)\n",
    "fig2,axes2=plt.subplots(2,2)\n",
    "fig2.set_size_inches(12,12)\n",
    "fig2.suptitle(\"各国GDP\",fontproperties=myfont)\n",
    "ax1=axes2[0,0]\n",
    "ax1.set_title(\"中国\",fontproperties=myfont)\n",
    "ax1.set_xlim([1800,2040])\n",
    "ax1.set_ylim([0,80000])\n",
    "ax1.plot(year,china,color='red',label='GDP' )\n",
    "ax2=axes2[1,0]\n",
    "ax2.set_title(\"美国\",fontproperties=myfont)\n",
    "ax2.set_xlim([1800,2040])\n",
    "ax2.set_ylim([0,80000])\n",
    "ax2.plot(year,usa,color='blue')\n",
    "ax1.legend()\n",
    "ax2.legend(('the gdp of usa',),loc='right',fontsize=12)\n",
    "fig2.subplots_adjust(left=None,hspace=0.5,wspace=0.3)\n",
    "plt.style.use('ggplot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "67d74235-e903-4619-888f-51665bfa1dc5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-21T03:30:43.338678Z",
     "iopub.status.busy": "2022-03-21T03:30:43.337528Z",
     "iopub.status.idle": "2022-03-21T03:30:44.260035Z",
     "shell.execute_reply": "2022-03-21T03:30:44.259263Z",
     "shell.execute_reply.started": "2022-03-21T03:30:43.338620Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.font_manager import FontProperties\n",
    "import os\n",
    "myfont=FontProperties(fname=r\"/home/aistudio/external-libraries/微软雅黑.ttf\",size=12)\n",
    "fig2,axes2=plt.subplots(2,2)\n",
    "fig2.set_size_inches(12,12)\n",
    "fig2.suptitle(\"各国GDP\",fontproperties=myfont)\n",
    "ax1=axes2[0,0]\n",
    "ax1.set_title(\"中国\",fontproperties=myfont)\n",
    "ax1.set_xlim([1800,2040])\n",
    "ax1.set_ylim([0,80000])\n",
    "ax1.plot(year,china,color='red',label='GDP' )\n",
    "ax1.annotate('1979年改革开放',xy=(1979,1064),xytext=(1920,10000),arrowprops=dict(facecolor='r',shrink=0.05),fontproperties=myfont)\n",
    "ax2=axes2[1,0]\n",
    "ax2.set_title(\"美国\",fontproperties=myfont)\n",
    "ax2.set_xlim([1800,2040])\n",
    "ax2.set_ylim([0,80000])\n",
    "ax2.plot(year,usa,color='blue')\n",
    "ax1.legend()\n",
    "ax2.legend(('the gdp of usa',),loc='right',fontsize=12)\n",
    "fig2.subplots_adjust(left=None,hspace=0.5,wspace=0.3)\n",
    "gfile='data/gdd.jpeg'\n",
    "if os.path.exists(gfile):\n",
    "    os.remove(gfile)\n",
    "else:\n",
    "    fig2.savefig(gfile)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "98e382e3-d7e8-40d3-b744-6b17cf1ce54a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-21T03:27:54.984517Z",
     "iopub.status.busy": "2022-03-21T03:27:54.983695Z",
     "iopub.status.idle": "2022-03-21T03:27:55.871038Z",
     "shell.execute_reply": "2022-03-21T03:27:55.870026Z",
     "shell.execute_reply.started": "2022-03-21T03:27:54.984478Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.font_manager import FontProperties\n",
    "myfont=FontProperties(fname=r\"/home/aistudio/external-libraries/微软雅黑.ttf\",size=12)\n",
    "fig2,axes2=plt.subplots(2,2)\n",
    "fig2.set_size_inches(12,12)\n",
    "fig2.suptitle(\"各国GDP\",fontproperties=myfont)\n",
    "ax1=axes2[0,0]\n",
    "ax1.set_title(\"中国\",fontproperties=myfont)\n",
    "ax1.set_xlim([1800,2040])\n",
    "ax1.set_ylim([0,80000])\n",
    "ax1.plot(year,china,color='red',label='GDP' )\n",
    "ax2=axes2[1,0]\n",
    "ax2.set_title(\"美国\",fontproperties=myfont)\n",
    "ax2.set_xlim([1800,2040])\n",
    "ax2.set_ylim([0,80000])\n",
    "ax2.plot(year,usa,color='blue')\n",
    "ax1.legend()\n",
    "ax2.legend(('the gdp of usa',),loc='right',fontsize=12)\n",
    "fig2.subplots_adjust(left=None,hspace=0.5,wspace=0.3)\n",
    "gfile='data/gdp.jpeg'\n",
    "if os.path.exists(gfile):\n",
    "    os.remove(gfile)\n",
    "else:\n",
    "    fig2.savefig(gfile)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "1ac7f6e0-8ffc-4237-8d7e-47d51c0dd050",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-21T02:31:17.418861Z",
     "iopub.status.busy": "2022-03-21T02:31:17.417828Z",
     "iopub.status.idle": "2022-03-21T02:31:17.557826Z",
     "shell.execute_reply": "2022-03-21T02:31:17.557044Z",
     "shell.execute_reply.started": "2022-03-21T02:31:17.418822Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np \n",
    "x=np.linspace(-2*np.pi,2*np.pi,200)\n",
    "y=np.sin(x)\n",
    "fig3,axes3=plt.subplots()\n",
    "axes3.plot(x,y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "3a7ec929-a756-40e1-b7d7-1346676e819a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-21T02:42:59.134372Z",
     "iopub.status.busy": "2022-03-21T02:42:59.133688Z",
     "iopub.status.idle": "2022-03-21T02:42:59.343420Z",
     "shell.execute_reply": "2022-03-21T02:42:59.342751Z",
     "shell.execute_reply.started": "2022-03-21T02:42:59.134333Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np \n",
    "x=np.linspace(-2*np.pi,2*np.pi,200)\n",
    "y=np.sin(x)\n",
    "fig3,axes3=plt.subplots()\n",
    "axes3.plot(x,y)\n",
    "axes3.spines['top'].set_visible(False)\n",
    "axes3.spines['right'].set_visible(False)\n",
    "axes3.spines['left'].set_position(('data',0))\n",
    "axes3.spines['bottom'].set_position(('data',0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "87bfd884-dbc0-487f-8f75-7d2e647bfc98",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-21T02:52:27.025825Z",
     "iopub.status.busy": "2022-03-21T02:52:27.025478Z",
     "iopub.status.idle": "2022-03-21T02:52:27.428331Z",
     "shell.execute_reply": "2022-03-21T02:52:27.427467Z",
     "shell.execute_reply.started": "2022-03-21T02:52:27.025791Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.patches.FancyArrow at 0x7fac07469f10>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 792x792 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np \n",
    "x=np.linspace(-2*np.pi,2*np.pi,200)\n",
    "y=np.sin(x)\n",
    "fig3,axes3=plt.subplots()\n",
    "fig3.set_size_inches(11,11)\n",
    "axes3.set_xlim(-7,7)\n",
    "axes3.set_ylim(-1,1)\n",
    "axes3.plot(x,y)\n",
    "axes3.spines['top'].set_visible(False)\n",
    "axes3.spines['right'].set_visible(False)\n",
    "axes3.spines['left'].set_position(('data',0))\n",
    "axes3.spines['bottom'].set_position(('data',0))\n",
    "axes3.grid(color='gray',linestyle='--',alpha=0.2)\n",
    "axes3.arrow(-7,0,13.8,0,width=0,shape='full',head_width=0.05,head_length=0.2)\n",
    "axes3.arrow(0,-1,0,1.97,width=0,shape='full',head_width=0.25,head_length=0.02)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "b8cc6015-b0b3-493a-8716-a83265aab649",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-21T03:01:06.724941Z",
     "iopub.status.busy": "2022-03-21T03:01:06.724464Z",
     "iopub.status.idle": "2022-03-21T03:01:06.859861Z",
     "shell.execute_reply": "2022-03-21T03:01:06.859104Z",
     "shell.execute_reply.started": "2022-03-21T03:01:06.724904Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "v = np.array([2,1]) \n",
    "fig,axes=plt.subplots()\n",
    "axes.set_xlim(0,4)\n",
    "axes.set_ylim(0,3)\n",
    "axes.grid()\n",
    "axes.arrow(0,0,v[0],v[1],head_length=0.1,head_width=0.1,color='red')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed6a4834-3445-45ff-a4ea-ae52cc5d43d9",
   "metadata": {},
   "source": [
    "## Matplotlib应用\n",
    "### Matplolib简介\n",
    "\n",
    "理解Matplotlib，或者理解python中可视化操作，可以视其为一个个套娃，或者画一幅油画，不同的可视化对象层层叠叠，构成了最终的可视化图像。\n",
    "\n",
    "在Matplotlib中，一幅可视化图由以下几个对象构成：\n",
    "## Matplotlib中对象以及绘图步骤\n",
    "虽然直接使用pyplot中plot方法可以快速绘制图像，但是当遇到更为复杂的图形，或者希望进行细致的操作的时候，就需要按照步骤，一步步设置不同的对象。在此过程中，结合matplotlib的结构，就可以展现精美的可视化结果。\n",
    "![](https://ai-studio-static-online.cdn.bcebos.com/663b9e07d4c840b49b1499357c3f3f78a0511962c68c45598ec99bc8ff2faae7)\n",
    "\n",
    "Matpltlib中主要包含以下重要的对象：\n",
    "\n",
    "1. **figure**\n",
    "\n",
    "整个图形即是一个figure对象。figure对象至少包含一个子图，也就是axes对象。figure对象包含一些特殊的artist对象，如图名（title）、图例（legend）。\n",
    "\n",
    "2. **a"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "py35-paddle1.2.0"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
